[Do artificial intelligence systems reason in the same way as clinicians when making diagnoses?]

Date publication

mars 2020

Journal

La Revue de medecine interne

Auteurs

Membres identifiés du Cancéropôle Est :
Pr WEMMERT Cédric

Tous les auteurs :
Pelaccia T, Forestier G, Wemmert C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/31987671

Résumé

Clinical reasoning is at the heart of physicians' competence, as it allows them to make diagnoses. However, diagnostic errors are common, due to the existence of reasoning biases. Artificial intelligence is undergoing unprecedented development in this context. It is increasingly seen as a solution to improve the diagnostic performance of physicians, or even to perform this task for them, in a totally autonomous and more efficient way. In order to understand the challenges associated with the development of artificial intelligence, it is important to understand how the machine works to make diagnoses, what are the similarities and differences with the physician's diagnostic reasoning, and what are the consequences for medical training and practice.

Mots clés

Artificial intelligence, Biais cognitifs, Clinical reasoning, Cognitive biases, Deep neural networks, Intelligence artificielle, Intuition, Raisonnement clinique, Réseaux de neurones

Référence

Rev Med Interne. 2020 Mar;41(3):192-195